Our Decade of Designing UX/UI for AI Products in a Single Page

Created a news portal that provides access to diverse perspectives, helping users quickly analyze and explore topics using artificial intelligence.

Deep research to understand user behavior and preferences in news consumption, enabled us to develop a strategy for integrating advanced artificial intelligence algorithms aimed at helping users quickly access specific information, prioritizing content based on user interests and current topics.

A unique way to study a topic in the form of a timeline, an interactive graph allows you to track publication bursts and analyze what preceded it. Artificial intelligence offers options for the development of events

Users often struggle to organize data from financial research. That’s why we always add a “cluster” tool to gather information in a single place for easy access.

If you’re building a chat-based interface, make sure you use AI to predict and suggest prompts for easy UX.

Users often miss AI products' value due to hard-to-read documentation and irrelevant tutorials. Instead, use an AI chatbot that offers solutions based on user tasks in real time.

Make sure your mobile version is as optimized as the desktop.

Minimize actions and time spent searching for information to attract new clients. You can build an AI that quickly summarizes the most relevant info across the Internet, and present it as your USP.

In our tests with Pika AI, we found that search products with integrated AI should create multiple ways for users to find information. Because otherwise, users turn back to Google.

When designing UX for multi-user interactions, make sure the platform supports multitasking with easy switching between tasks and tabs.

In SMB workflows, tasks often involve multiple AI requests. AI UX should let users build a sequence of commands for AI to complete before delivering final results.

In our tests with Pika AI, we found that search products with integrated AI should create multiple ways for users to find information. Because otherwise, users turn back to Google.

Make sure UX for Adtech focuses on grouping items (like images) and allows users to manage them in bulk.

Our results show that desktop users dominate mobile in B2B SaaS platforms. However, mobile versions should still provide up-to-date information.

We used custom-built tech to predict ad performance based on previous tests. This way we simplified user workflow and reduced steps to creating converting ads.

Prompt engineering can sometimes be a daunting task that takes a lot of time. A preset list of use cases with tested prompts speeds up the workflow for SMBs.

Users now take advantage of AI for a myriad of tasks. Having a list of customized assistants that account for the context of each direction they are assigned to, dramatically increases the accuracy of the result.

When building AI interfaces meant to be used at work, it's crucial to give users an ability to multitask, switch between different conversations and give tasks to assistants simultaneously.